Apr 3, 2020 · In this paper, motivated by the inherent connections between neural joint source-channel coding and discrete representation learning, we propose ...
In this paper, motivated by the inherent connections between neural joint source-channel coding and discrete representation learning, we propose a novel ...
Apr 3, 2020 · View a PDF of the paper titled Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip, by Yuxuan Song and 5 other authors. View ...
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. This repo contains a reference implementation for IABF as described in the paper ...
In this paper, motivated by the inherent connections between neural joint source-channel coding and discrete representation learning, we propose a novel ...
In this work, we propose to jointly learn the encoding and decoding processes using a new discrete vari- ational autoencoder model. By adding noise into the ...
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 5834-5841. https ...
In this paper, motivated by the inherent connections between neural joint source-channel coding and discrete representation learning, we propose a novel ...
NECST: Neural Joint Source-Channel Coding - Semantic Scholar
www.semanticscholar.org › paper › NEC...
This work proposes Neural Error Correcting and Source Trimming codes to jointly learn the encoding and decoding processes in an end-to-end fashion, ...
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu. The 34th AAAI Conference on Artificial ...